南京林业大学学报(自然科学版) ›› 2025, Vol. 49 ›› Issue (2): 212-220.doi: 10.12302/j.issn.1000-2006.202306028

• 研究论文 • 上一篇    下一篇

基于模糊层次分析的栗子坪国家级自然保护区生态健康评价

冯婷婷1(), 郑阳2,3,4, 骆伟2,3,4, 代勤龙2,3,4, 李健威2,3,4, 王飞1, 脱云飞1,*()   

  1. 1.西南林业大学生态与环境学院,云南 昆明 650224
    2.四川栗子坪国家级自然保护区管理局,四川 石棉 625400
    3.大熊猫小种群保护与复壮研究开放实验室,四川 石棉 625400
    4.栗子坪大熊猫生态与保护四川省野外科学观测研究站,四川 石棉 625400
  • 收稿日期:2023-06-28 接受日期:2024-05-08 出版日期:2025-03-30 发布日期:2025-03-28
  • 通讯作者: *脱云飞(tyunfei@163.com),副教授。
  • 作者简介:

    冯婷婷(ftingting@163.com)。

  • 基金资助:
    四川省栗子坪国家级自然保护区陆生动物生境调查研究(2021ZD0125);国家自然科学基金项目(51979134);国家自然科学基金项目(51779113);2021年度云南省农业联合专项面上项目(202101BD070001-077);云南省基础研究重点项目(CB22052C055A);云南省教育厅科学研究基金项目(2021J0164);云南省重大科技项目(202102AE090042);昆明市重大科技项目(2021JH002)

Ecological health assessment based on fuzzy analytic hierarchy process: a case study of Liziping National Nature Reserve

FENG Tingting1(), ZHENG Yang2,3,4, LUO Wei2,3,4, DAI Qinlong2,3,4, LI Jianwei2,3,4, WANG Fei1, TUO Yunfei1,*()   

  1. 1. College of Ecology and Environment, Southwest Forestry University, Kunming 650224, China
    2. Sichuan Liziping National Nature Reserve Administration, Shimian 625400, China
    3. Open Laboratory of Shimian Research Center of Giant Panda Small Population Conservation and Rejuvenation, Shimian 625400, China
    4. Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province, Shimian 625400, China
  • Received:2023-06-28 Accepted:2024-05-08 Online:2025-03-30 Published:2025-03-28

摘要:

【目的】明确生态健康评价体系建立及其指标选取是自然保护区生态健康评价的关键问题,通过生态健康评价了解自然保护区生态健康状况,为改善区域生态环境提供依据。【方法】选取四川栗子坪国家级自然保护区的自然资源特性、河流生态资源、社会价值、服务管理体系和生态环境情况5个准则层,以及31个指标层建立生态健康综合评价指标体系,基于模糊层次分析法生态健康综合评价模型对自然保护区生态健康进行评价。【结果】栗子坪国家级自然保护区自然资源特性、河流生态资源、社会价值、服务管理体系和生态环境指标权重分别为0.157、0.277、0.124、0.073和0.370,其最大特征根和一致性指标分别为5.158和0.040。自然资源特性、社会价值、生态环境情况处于健康和亚健康状态的隶属度得分分别为0.687和0.218、0.504和0.373、0.608和0.212,河流生态资源处于优质和亚健康状态的隶属度分别为0.509和0.275,服务管理体系处于健康状态的隶属度为0.394。栗子坪国家级自然保护区生态健康在优质、健康、亚健康、不健康和病态隶属度评价得分分别为0.232、0.452、0.255、0.061和0,生态健康隶属度综合得分为0.452,生态健康评价结果为健康。【结论】该研究可为栗子坪国家级自然保护区生态保护及其生态环境综合治理提供科学依据与技术支撑。

关键词: 生态健康, 模糊层次分析法, 隶属度, 栗子坪国家级自然保护区

Abstract:

【Objective】The critical challenges in ecological health assessment involve establishing a comprehensive assessment system and selecting appropriate indicators. This study aims to evaluate the ecological health status of nature reserves to provide a scientific basis for improving the regional ecological environment. 【Method】This study established a comprehensive ecological health evaluation index system for the Sichuan Liziping National Nature Reserve. The system encompasses five criteria: natural resource characteristics, river ecological resources, social value, service management system, and ecological environment conditions, further subdivided into 31 specific indicators. A fuzzy analytic hierarchy process (AHP) model was employed to evaluate the reserve’s ecological health. 【Result】The evaluation revealed the relative weights of the criteria as follows: natural resource characteristics (0.157), river ecological resources (0.277), social value (0.124), service management system (0.073), and ecological environment conditions (0.370). The maximum eigenvalue and consistency index were calculated as 5.158 and 0.040. Membership scores for natural resources, social value, and ecological environment conditions in “healthy” and “sub-healthy” states were 0.687 and 0.218, 0.504 and 0.373, 0.608 and 0.212, respectively. River ecological resources showed membership scores of 0.509 in “high quality” and 0.275 in “sub-healthy” states, while the service management system exhibited a “healthy” state membership score of 0.394. Overall, the ecological health evaluation yielded scores for “high quality” (0.232), “healthy” (0.452), “sub-healthy” (0.255), “unhealthy” (0.061), and “sick” (0) membership states. The comprehensive membership score was 0.452, categorizing the reserve’s ecological health as “healthy.” 【Conclusion】 This study offers a scientific foundation and technical guidance for ecological conservation and the integrated management of the ecological environment in the Liziping National Nature Reserve.

Key words: ecological health, fuzzy analytic hierarchy process, membership degree, Liziping National Nature Reserve

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